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Original Articles

Fusion imaging techniques and contrast-enhanced ultrasound for thermal ablation of hepatocellular carcinoma – A prospective randomized controlled trial

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Pages 1206-1214 | Received 08 Jul 2019, Accepted 18 Oct 2019, Published online: 08 Dec 2019

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Jiaming Liu, Yuqing Guo, Yueting Sun, Ming Liu, Xiaoer Zhang, Ruiying Zheng, Longfei Cong, Baoxian Liu, Xiaoyan Xie & Guangliang Huang. (2024) Three-dimensional ultrasound fusion imaging in precise needle placement for thermal ablation of hepatocellular carcinoma. International Journal of Hyperthermia 41:1.
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Articles from other publishers (20)

Siran Aslan, Mohammad Walid Al-Smadi, István Kozma & Árpad Viola. (2023) Enhanced Precision and Safety in Thermal Ablation: O-Arm Cone Beam Computed Tomography with Magnetic Resonance Imaging Fusion for Spinal Column Tumor Targeting. Cancers 15:24, pages 5744.
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Jing Li, Huayu Gao, Nanyan Shen, Di Wu, Lanyun Feng & Peng Hu. (2023) High-security automatic path planning of radiofrequency ablation for liver tumors. Computer Methods and Programs in Biomedicine 242, pages 107769.
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Yangang Sheng, Xueke Sun, Hongmei Sun, Jinyan Qi, Hua Li, Jiankui Luan & Deyin Zhai. (2023) Fusion imaging versus ultrasound-guided percutaneous thermal ablation of liver cancer: a meta-analysis. Acta Radiologica 64:9, pages 2506-2517.
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Danqing Huang, Baojie Wen, Han Zhang, Han Liu, Wenping Wang, Haiyun Shen & Wentao Kong. (2023) Ultrasound fusion imaging for improving diagnostic and therapeutic strategies of focal liver lesions: A preliminary study. Journal of Clinical Ultrasound 51:6, pages 1059-1066.
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Pragati Rai, Mohammed Yusuf Ansari, Mohammed Warfa, Hammad Al‐Hamar, Julien Abinahed, Ali Barah, Sarada Prasad Dakua & Shidin Balakrishnan. (2023) Efficacy of fusion imaging for immediate post‐ablation assessment of malignant liver neoplasms: A systematic review. Cancer Medicine 12:13, pages 14225-14251.
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Qi, MD Yang, Sun, MD Dengsheng, Wang, MD Linyao, Yu, MD Jie & Liang, MD Ping. (2023) State-of-the-Art and Development Trend of Interventional Ultrasound in China. ADVANCED ULTRASOUND IN DIAGNOSIS AND THERAPY 7:4, pages 313.
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Julius Chapiro, Bibb Allen, Aaron Abajian, Bradford Wood, Nishita Kothary, Dania Daye, Harrison Bai, Art Sedrakyan, Matthew Diamond, Vahan Simonyan, Gordon McLennan, Nadine Abi-Jaoudeh & Bradley Pua. (2022) Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside. Journal of Vascular and Interventional Radiology 33:9, pages 1113-1120.
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Hai-Yang Chen, Peng Ge, Jia-Yue Liu, Jia-Lin Qu, Fang Bao, Cai-Ming Xu, Hai-Long Chen, Dong Shang & Gui-Xin Zhang. (2022) Artificial intelligence: Emerging player in the diagnosis and treatment of digestive disease. World Journal of Gastroenterology 28:20, pages 2152-2162.
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Arian Mansur, Tushar Garg, Apurva Shrigiriwar, Vahid Etezadi, Christos Georgiades, Peiman Habibollahi, Timothy C. Huber, Juan C. Camacho, Sherif G. Nour, Alan Alper Sag, John David Prologo & Nariman Nezami. (2022) Image-Guided Percutaneous Ablation for Primary and Metastatic Tumors. Diagnostics 12:6, pages 1300.
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Wenzhen Ding, Zhen Wang, Fang-Yi Liu, Zhi-Gang Cheng, Xiaoling Yu, Zhiyu Han, Hui Zhong, Jie Yu & Ping Liang. (2022) A Hybrid Machine Learning Model Based on Semantic Information Can Optimize Treatment Decision for Naïve Single 3–5-cm HCC Patients. Liver Cancer 11:3, pages 256-267.
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Tao Jie, Feng Guoying, Tang Gang, Shi Zhengrong & Li Maoping. (2021) Efficacy and Safety of Fusion Imaging in Radiofrequency Ablation of Hepatocellular Carcinoma Compared to Ultrasound: A Meta-Analysis. Frontiers in Surgery 8.
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Qiong Li, Jun-Feng Li & Xiao-Rong Mao. (2021) Application of artificial intelligence in liver diseases: From diagnosis to treatment. Artificial Intelligence in Gastroenterology 2:5, pages 133-140.
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Qi Lang, Chongli Zhong, Zhiyun Liang, Yizhou Zhang, Baokang Wu, Feng Xu, Ling Cong, Shuodong Wu & Yu Tian. (2021) Six application scenarios of artificial intelligence in the precise diagnosis and treatment of liver cancer. Artificial Intelligence Review 54:7, pages 5307-5346.
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Haiwei Bao, Ting Chen, Junyan Zhu, Haiyang Xie & Fen Chen. (2021) CEUS-Based Radiomics Can Show Changes in Protein Levels in Liver Metastases After Incomplete Thermal Ablation. Frontiers in Oncology 11.
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Brian D’Amore, Sara Smolinski-Zhao, Dania Daye & Raul N. Uppot. (2021) Role of Machine Learning and Artificial Intelligence in Interventional Oncology. Current Oncology Reports 23:6.
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Serena Carriero, Gianmarco Della Pepa, Lorenzo Monfardini, Renato Vitale, Duccio Rossi, Andrea Masperi & Giovanni Mauri. (2021) Role of Fusion Imaging in Image-Guided Thermal Ablations. Diagnostics 11:3, pages 549.
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Yan Zhuang, Juanjuan Sun & Jiaqiang Liu. (2021) Diagnosis of Chronic Kidney Disease by Three-Dimensional Contrast-Enhanced Ultrasound Combined with Augmented Reality Medical Technology. Journal of Healthcare Engineering 2021, pages 1-12.
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Xiang Jing, Yan Zhou, Jianmin Ding, Yijun Wang, Zhengyi Qin, Yandong Wang & Hongyu Zhou. (2020) The Learning Curve for Thermal Ablation of Liver Cancers: 4,363-Session Experience for a Single Central in 18 Years. Frontiers in Oncology 10.
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Jing Li, Yuanqi Xu, Nanyan Shen, Lanyun Feng, Zhuang Ran & Zongqian Deng. (2020) A practical pretreatment planning method of multiple puncturing for thermal ablation surgery. Biocybernetics and Biomedical Engineering 40:4, pages 1469-1485.
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Ayman Bannaga & Ramesh P Arasaradnam. (2020) Neutrophil to lymphocyte ratio and albumin bilirubin grade in hepatocellular carcinoma: A systematic review. World Journal of Gastroenterology 26:33, pages 5022-5049.
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